List of Online Courses and Certifications

Data Analytics with Pyspark online certification was created by Wajahatullah Khan - Data Architect at Afiniti and is available on Udemy for applicants who want to learn the functionalities and concepts involved with PySpark for data analytics to build more scalable analyses and data pipelines to transform themselves into professional data engineers and data analysts and advance in their professional careers.

Data Analytics with Pyspark online classes by Udemy begins with an introduction to PySpark's ability to analyze large datasets and techniques for interacting with Spark from Python and connecting to Spark on Windows as individual computers. The Data Analytics with Pyspark online course includes 2 hours of learning materials, articles, downloadable resources, and quizzes on topics such as PySpark DataFrames, PySpark SQL, data extraction, data visualization, resilient distributed datasets, and will acquire the skills to perform better data analytics and use PySpark to easily analyze large datasets at scale in their organizations.

MySQL can be an appropriate method for so many technology initiatives. MySQL has many characteristics that make it the perfect database environment for implementing analytics projects. SQL - MySQL for Data Analytics and Business Intelligence certification course is created by 365 Careers - an educational platform that aims to create opportunities for data science and finance students - and is presented by Udemy for students who want to learn SQL to become certified SQL developers, database administrators, and business analysts.

SQL - MySQL for Data Analytics and Business Intelligence online course incorporates more than 10.5 hours of comprehensive lectures, 172 articles, and 96 downloadable study materials that teach how important database management is in the era of big data and data analytics. SQL - MySQL for Data Analytics and Business Intelligence online training discusses topics like big data, data analytics, database design, business intelligence, business intuition, database management, database management system, and much more.

With the help of object-oriented programming and physical modeling used across the software development process to direct customer involvement and customer satisfaction, object-oriented analysis and design is a technological method for analyzing and developing an application, system, or company. Advanced Object Oriented Analysis of Hard Problems using UML online certification is created by Per Emanuelsson - Business/Software Architect & Entrepreneur, which is offered by Udemy.

Advanced Object Oriented Analysis of Hard Problems using UML online classes offers more than 9.5 hours of detailed learning resources accompanied by articles that seek to educate learners on everything they need to know about the unique strategy of object-oriented conceptual modeling. Advanced Object Oriented Analysis of Hard Problems using UML online course discusses topics like conceptual analysis, concept mapping, workshop facilitation, unified modeling language, and many more.

Deep learning is a new technology that enables professionals to develop AI systems that were just impossible before. To remain organised, help organisations expand and stay on top of the market, intelligent automation is going to be very helpful.

In machine translation, music synthesis, natural language comprehension, speech recognition and many others, Deep Learning is currently enabling numerous exciting applications. AI is actually changing industries into the next level. This Certificate in Deep Learning with Python programme will be introducing candidates into the new world of deep learning. Candidates will be able to create AI systems on their own by pursuing the entire programme properly.

Candidates will definitely be able to find new ways to apply it to their work after completing this Certificate in Deep Learning with Python programme. Vskills will help candidates to master Deep Learning and help to understand how to apply it and build an AI career. 

For artificial intelligence related jobs companies require professionals who have deep learning with Python knowledge. The Certificate in Deep Learning with Python programme will be placing many candidates in top IT companies and MNCs.

Natural Language Processing with Deep Learning in Python online certification was created by Lazy Programmer Inc., Artificial Intelligence and Machine Learning Engineer, Lazy Programmer Team, and is offered through Udemy Inc. which is an online learning platform, that helps individuals progress in their careers.

Natural Language Processing with Deep Learning in Python online course will teach how the GloVe method uses matrix factorization to find word vectors, using recurrent neural networks to solve natural language processing problems such as part-of-speech tagging and named entity recognition, as well as gain an understanding of how neural networks solve almost any problem, and how to use recursive neural networks to solve the sentiment analysis negation problem

Natural Language Processing with Deep Learning in Python online training is designed for individuals who are familiar with programming and have some experience in it as this course comes with prerequisites such as calculus, matrix addition, multiplication, probability, python coding, Numpy coding, neural networks and backpropagation, gradient descent algorithms, coding feedforward neural network in Theano or TensorFlow, coding recurrent neural network / LSTM / GRU in Theano or TensorFlow, tree algorithms. The interested learners could enrol on the course by paying the fee. 

Deep Learning: Recurrent Neural Networks in Python online certification is a compelling course presented by an inspiring instructor. The cases are well-chosen, demonstrating foundations through fun, creative projects rather than lecturing on abstract concepts. The course is created by Lazy Programmer Inc. - Artificial intelligence and machine learning engineer and presented by Udemy, an ed-tech organization based in the United States that supports students with the greatest and most up-to-date skills through online courses in more than 180 countries.

As the Deep Learning: Recurrent Neural Networks in Python online training involves complex concepts, candidates should have prior knowledge of the following topics to get the most out of the course: matrix addition, multiplication, basic probability, python coding, Numpy coding, matrix, and vector operations, loading a CSV file. The course also provides 12 hours of prerecorded English lectures and an article for understanding the topics at their own pace.

Deep Learning with Python and Keras online course is a short-term course developed by Data Weekends - Learn the essentials of Data Science in just one weekend, Jose Portilla - Head of Data Science, Pierian Data Inc., Instructor and presented by Udemy Inc., an ed-tech firm aimed at providing of online courses for professionals and beginners across 180 countries.

Deep Learning with Python and Keras certification course is intended to give you a thorough understanding of Deep Learning. The course is designed for Python beginners and intermediate programmers and data scientists who want to learn how to apply Deep Learning methods to a variety of situations.

Deep Learning with Python and Keras online training focuses on providing learners with firm ground, not just in theory, but also in coding. Learners will be taught to detect issues that can be solved using Deep Learning, develop a range of Neural Network models, and use cloud computing to boost the training and enhance their performance. 

A deep understanding of deep learning (with Python intro) course is an online programme on deep learning developed by Mike X Cohen, a Neuroscientist, writer and professor. The short certificate programmes help the students to gain the fundamental knowledge of deep learning required to explore advanced and new deep learning concepts and theories. The course curriculum will walk the participants through Math, NumPy, PyTorch, Autoenncoders, Data types and many more aspects of deep learning. 

A deep understanding of deep learning (with Python intro) online course, offered by Udemy, is open for all the folk who are interested to learn deep learning and does not demand any kind of prior experience or knowledge; rather, the course will kick start the concepts including Python, Pytorch etc from the scratch. The students will go through the process of creating artificial neural networks and building models in PyTorch and will master codes of gradient descent and calculus. 

The learners will also get practical exposure through A deep understanding of deep learning (with Python intro) certification with many experiences and practical examples etc. Udemy will confer the participants a certificate of completion at the end opening up plenty of opportunities in the field of deep learning that is widely used in many industries such as self-driving cars, medical diagnosis and whatnot. Those who are looking forward to trying a hand in deep learning can join the programme by making the payment.

Data Science: Deep Learning and Neural Networks in Python online certification are developed by Lazy Programmer Inc., artificial intelligence and machine learning engineer, and offered by Udemy Inc., a US-based online learning platform to help individuals boost their careers. The course is designed for individuals who are interested in mastering their skills in deep learning, machine learning, and data science. 

Data Science: Deep Learning and Neural Networks in Python online course will teach the learners to use deep learning techniques to create their artificial neural network,  fundamental building blocks of neural networks, and use Python and Numpy to create full-fledged non-linear neural networks right away. 

Data Science: Deep Learning and Neural Networks in Python online training are focused on the professionals with a background in programming as the course come with some prerequisites such as knowledge of calculus (taking derivatives), matrix arithmetic, probability, python coding, NumPy coding, linear regression, and logistic regression. candidates can also avail discounts at the time of checkout, if available. 

Python offers a more open-ended approach to data science, whereas R programming is mostly utilized for statistical research. Data analysis and statistics are the main goals of R programming, whereas production and deployment are the main goals of Python. Data Science with R and Python | R Programming certification course is developed by Oak Academy, a learning management system that also offers courses in IOS, Android, Ethical Hacking, IT, Web & Mobile Development, and is made available by Udemy.

Data Science with R and Python | R Programming online course involves 13 hours of prerecorded lectures accompanied by 4 articles and 9 downloadable resources, which is designed for the participants who wish to become certified data scientists by learning the features of Python and R programming. Data Science with R and Python | R Programming online training explains the topics like data visualization, data munging, data analysis, data manipulation, business analytics, data transformation, data frames, Pandas, Numpy, Matplotlib, and more.

Both Python and R are fantastic languages for performing data analysis. Additionally, they are both excellent for those who have never programmed before. Fortunately, there are a variety of resources and materials available to assist people along the path, regardless of whatever language they decide to learn originally. Piyush S, a data scientist, engineer, and project manager, designed the Data Analysis using Python and R for Absolute Beginner[2022] online certification, which is provided by Udemy.

Data Analysis using Python and R for Absolute Beginner[2022] online classes incorporates more than 12.5 hours of detailed lectures supported by articles, 36 downloadable resources, assignments, and case studies on bank marketing, uber supply demand, car datasets, and more. Data Analysis using Python and R for Absolute Beginner[2022] online training provides a deeper comprehension of the fundamentals of Python and R programming for data analysis operations, which also covers topics like data visualization, exploratory data analysis, website scraping, data extraction, and data cleaning.

The Edureka Python Scripting Certification Training is an introductory course which covers the core concepts of Programming and Scripting, Object-Oriented Programming, Data Handling, Collections and various networking concepts.

Once you complete the Python Scripting Certification Training curriculum, you will learn to develop networking applications with GUI. The course will help you to acquire skills such as how to create and execute modules and functions, comprehend scripting concepts, and know the concepts associated with Python as a programming language.

Furthermore, you will be able to understand data operators, types, decision-making statements and loops, and many more concepts via hands-on learning experience. Since the course is self-paced, you can study at your pace and convenience.  

Besides, since Python Scripting enables programmers to build applications quickly, it is the future of Machine Learning and AI. Once you become a certified Python Developer upon completion of the Python Scripting Certification Training programme, you will be able to work in top companies and earn an average salary of $109,280 per year.

Interactive Python Dashboards with Plotly and Dash certification course is developed by Jose Portilla - Instructor, Head of Data Science, Pierian Data Inc. and offered by Udemy Inc., a US-based online platform that provides courses to help beginners gain new concepts and techniques and professionals improve their competencies to advance their jobs.

Interactive Python Dashboards with Plotly and Dash online training will teach the learners to design customisable, interactive dashboards by using the open-source library of Plotly and Dash. Learners will be taught about Numpy and Pandas to make them feel comfortable interacting and creating data. Candidates will learn the cutting-edge technology of data visualisation with Plotly, such as scatter plots, line charts, bar charts, bubble charts, box plots, histograms, distribution plots, heat maps, etc.

With Interactive Python Dashboards with Plotly and Dash online course, learners will leverage the power of Plotly plots to construct interactive dashboards using the dash library,  and make dashboard layouts in python, use interactive callbacks, deal with many inputs and outputs, make interactive components, etc. In the end, candidates will be provided with exercises to assess their new skills. The interested learners could enrol on the course by paying the fee. 

Complete Python Developer : Zero to Mastery online certification is a short-term course developed by Andrei Neagoie, founder of ZTM academy and instructor of some highest-rated programming and technical courses available online and Udemy Inc., a US-based online learning platform. Some of the course graduates are now working at top tech companies like Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, etc.

Complete Python Developer : Zero to Mastery syllabus involves basics and fundamentals of Python programming such as data structures, object-oriented programming, functional programming, lambdas, decorators, generators, testing, debugging & handling errors, regular expressions, file processing (image, CSV, PDFs, texts, etc), web development with python, creating developer environment with PyCharm, Jupyter notebooks, VS code, sublime text, etc.

With the Complete Python Developer : Zero to Mastery certification course, candidates will also learn about machine learning with python and data science with python, working with APIs like a Twitter bot, password checker, translators, automation with python and selenium, and whatnot. Complete Python Developer : Zero to Mastery certification course is a detailed project-based course that will help the learners develop all of the modern skills required in a Python developer and boost their career just by enrolling themselves in the course.

Pattern Detection with Python Regular Expressions (Regex) course is an online short programme created by Chandra Lingam. The curriculum will help the learners to explore the Python regular expressions along with the practical knowledge for Input Validation, Data Processing, and Transformation. The short course also imparts the skills to participants to use regex to locate and transform data of interest and make a detailed understanding of potential performance issues and techniques.  

Pattern Detection with Python Regular Expressions (Regex) online course, offered by Udemy, make the opportunity to gain the relevant information of regular expressions of Python such as Data Preparation, Input Validation, Cloud Services, etc. that the learners can apply in their own projects. The course also provides the participants with practical techniques with hands-on projects, examples, quizzes, and quality audios and videos. 

Pattern Detection with Python Regular Expressions (Regex) certification also offers the learners updated course material, lifetime access to the learning material, and video lectures. The programme demand from the learner having familiarity with programming to make use of the training completely. The interested candidates can enrol in the course by paying the fee.

The Python Bible™ | Everything You Need to Program in Python certification course is designed for individuals interested in data science, web development, artificial intelligence, or building robots as their own project using programs like Raspberry Pi. The course will help you learn the key fundamentals of Python programming to confidently begin your career as a python programmer.

The Python Bible™ | Everything You Need to Program in Python online certification is a short-term course offered by Udemy Inc., a US-based online learning platform. The content of the course is developed by Ziyad Yehia, an expert in teaching who uses a project-based approach and Internet of Things Academy.

The Python Bible™ | Everything You Need to Program in Python syllabus covers all the major operations in the python programming language to learn and develop the skills and techniques required in the industry which includes variables, numbers, strings, logic and data structures, loops, functional programming and object-oriented programming (OOP). interested candidates can enrol themselves in the course by enrolling themselves by making an online payment of Rs. 3,499 only.

Python 3: Deep Dive (Part 1 - Functional) online certification is created by Fred Baptiste, a professional developer, mathematician, and instructor, for professional programmers and developers who want to dive deep into Python and learn all of its functions and operations from the ground up. It is presented by Udemy, a US-based ed-tech company that provides students with the best and most up-to-date skills through its online courses.

Python 3: Deep Dive (Part 1 - Functional) syllabus contains complicated topics, learners are advised to have prior knowledge of the following topics in order to get the most out of the course: variables and simple types such as str, bool, int, and float types, for and while loops, if/else statements, using simple lists, tuples, dictionaries, and sets, defining functions using the def statement, writing simple classes using the class keyword and the __init__ method, writing instance methods, and importing modules from the standard library. 

The Complete Pandas Bootcamp: Data Science with Python course is an online certificate prgrammes that provides you a comprehensive understanding of Pandas which is a software library written for Python to use for data science/data analysis and machine learning tasks. The course will explore Machine Learning (ML) and handling and managing financial data,  the two key applications of Pandas. The curriculum equips you with must-have potential for data science and machine learning (ML) and expertise in data analysis and data manipulation. 

The Complete Pandas Bootcamp: Data Science with Python online course is broadly divided into five parts. They are (1) Pandas Basics, (2)The complete data workflow A-Z with Pandas,(3) Two Comprehensive Project Challenges, (4)Application 1: Pandas for Finance, Investing and other Time Series Data and (5) Application 2: Machine Learning with Pandas and scikit-learn. The certificate programme prepares you for the real world facilitating the learning of Pandas with real data. 

The Complete Pandas Bootcamp: Data Science with Python certification, provided by Udemy, also gives you the chance to explore practical knowledge in data science with Python as well as 150+ exercises, quizzes, and projects. You can take the course as per the level of difficulty and have the opportunity to choose between guided and non-guided modes of the course as per your comfort. The interested learners could enrol on the course by paying the fee. Early birds will be given a discount.  

Learn Python Programming Masterclass online course will focus on the usage of the Python programming language and learning the skills and using them in developing and programming purposes. Learn Python Programming Masterclass certification course is developed by Udemy Inc., an online course provider aimed at professionals and students.

Python is among one of the most used programming languages on the planet, with big firms like Google using it in mission-critical services like Google Search. Python is also the most widely used programming language in the fields of data science, machine learning, and artificial intelligence.

Learn Python Programming Masterclass course is designed for absolute beginners who have never programmed before, as well as professional python programmers who want to polish their skills and broaden their career prospects. The course content is focused to help the learners develop the skills and make them prove their worth in the eyes of the employers. So, take a step forward in broadening your career opportunities by enrolling yourself in the course.

Make 2D & 3D Graphs in Python with Matplotlib for Beginners online training focuses on teaching data visualization using python coding and using Matplotlib, a Python 2D plotting tool.

Make 2D & 3D Graphs in Python with Matplotlib for Beginners certification course is developed by John Bura - Owner of Mammoth Interactive, Web Developer & Instructor and presented by Eduonix, an educational organization aimed at providing the best learning content and methods.

Make 2D & 3D Graphs in Python with Matplotlib for Beginners online course is organized into two major sections. The first section teaches Python and its concepts such as variables, functions, if statements, data structures such as lists, dictionaries, and sets, for and while loops, and handling user input and output. The second section discusses Matplotlib for data visualization and how to use it in Python to build 2D and 3D graphs. Individuals will also be taught how to troubleshoot errors that may occur while programming code. 

Create Arrays in Python NumPy - Learn Scientific Computing online course is designed for coding beginners since it begins with a thorough introduction to programming in Python, a popular coding language used by internet companies such as YouTube and Instagram. The course makes use of NumPy 1.12.0, the fundamental Python for scientific computing, and performs computations using NumPy arrays. Students learn about arithmetic functions, statistics, and polynomials with NumPy.

Create Arrays in Python NumPy - Learn Scientific Computing online certification is created by John Bura - Owner of Mammoth Interactive, Web & Game Developer and Instructor and offered by Eduonix, an online learning platform. Create Arrays in Python NumPy - Learn Scientific Computing syllabus covers the fundamentals as well as advanced concepts of Python programming and the NumPy library, such as variables, functions, statements, dictionaries, lists, loop, input & output, classes, attributes, error handling, and many more, and is accompanied by 22 hours of pre-recorded videos to allow students to learn at their own pace.

Many of the companies, all around the world, face a huge mountain of data as the world progresses and transforms more into an open book. The issue with it is that it has made evaluating that data and making a scheme on it that much difficult with its quantity.

Deep Learning solves this issue by processing all that data in a better and faster way even if their network structures are complex in nature. However, there are not many people who can design Deep Learning models and train them for such a task.

This is where Certificate in Deep Learning with TensorFlow comes in. The course by Vskills teaches the candidates how they can tailor their Deep Learning models and measure them to the task of processing larger datasets and go through them even if they are complex in nature. Furthermore, it teaches the applicants the techniques behind the distribution of work in both high and low TensorFlow.

TensorFlow Training course is designed to help the learners to develop a solid understanding of all the aspects of TensorFlow. The online training programme offered by the online educational training platform Mindmajix will equip the learners with deep knowledge on the core essentials of TensorFlow, the open-source software library for machine learning and artificial intelligence,and will help to pass the TensorFlow Certification test.

TensorFlow Training online course will also enable the students to acquire the potential to develop deep neural networks. The curriculum will explore Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Restricted Boltzmann Machine(RBM), Deep Networks and the like through practical projects and case studies.  TensorFlow Training certification stipulates for the candidates having the fundamentals of programming and basic knowledge of Mathematics and Statistics. Mindmajix provides three options for enrolment into the online programme; virtual live instructor-led training, corporate training and self-paced training through pre-recorded videos. Post the course, the learners will be provided with the premium features of Career Counseling Sessions, Mock Interviews, Custom Resume Builder Access and many more.

One of the best libraries for deep learning implementation is TensorFlow. TensorFlow is a software library that uses data flow graphs to compute mathematical expressions numerically. The Deep Learning with TensorFlow certification course was created by Packt Publishing, a tech-focused educational platform, and is made available by Udemy, which is targeted at learners who want to learn how to use TensorFlow to explore deep learning's potential.

Deep Learning with TensorFlow online course involves 2 hours of comprehensive video-based learning resources that are targeted at learners who want to become certified data scientists so they can perform machine learning and regularly work with neural networks. Deep Learning with TensorFlow online classes discusses topics like neural networks, image recognition, logistic regression, convoluted neural networks, and recurrent neural networks as well as discuss multiple significant deep learning algorithms covered, as well as numerous examples that make use of deep neural networks.

Application performance management course is a course intended to monitor the performance and availability of software applications, by detecting complex issues in it and solving them to maintain the level of service which is expected by a consumer. It is very beneficial for management professionals and students.

Certified application performance management (apm) professional course by v skills not only widens the arena of employment for you but also polishes your skills and builds a scope of increasing your pay skill.  They cover topics such as apm basics, apm components, apm tools and much more. They offer a huge range of courses to you which can refine your profile.

They cover around forty seven topics in eight units which is sufficient for a candidate to excel in this market surrounded by tough competition.

One cannot learn everything at a time. This course by v skills is just like another chance to revamp your professional life and CV.

If you want to be a professional in Data Mining and Warehousing, Vskills Data Mining and Warehousing Certified Professional program is the right place for you. Just like the actual Mining, it is the process of extracting information and other patterns from very large sets of bulky data with the use of different statistical techniques and methods & artificial intelligence skills and strategies with database management. 

The certification on Data Mining helps the learners to apply algorithms and strategic techniques to solve and convert the interesting and actual data mining challenges for the professionals.  Data quality and converting methods and techniques for pre-processing the large amounts of available, bulky data. 

Modeling and design of data warehouses, clustering and association rule analysis, application of Algorithms for classification. With the Practical use of software for data analysis, it helps in the field, for professionals to know the fundamentals.

The Data Science: Data Mining & Natural Language Processing in R online course is a study about the clustering, classification, and regression of data in R with the help of data preprocessing, data visualization, and machine learning. The course is provided by the online education platform Udemy for the students who are interested in learning data science with R fundamentals and strategies.

The course curriculum is developed with thirteen hours of video content, four articles, and ten downloadable resources that can be learned by the students at their speed and convenience. The educator for this online program is Minerva Singh who will guide the students with discussions on data mining, web-scraping, text mining, and natural language processing. 

The Data Science: Data Mining & Natural Language Processing in R training program enables the students to gain knowledge through experimental learning strategies and applications. The candidates are given the course certificate after completing the online training.

The ‘Information Retrieval and Mining Massive Data Sets’ online course is developed for the learners to gain knowledge about the different methodologies and strategies required to create an Information Retrieval system. The program is provided by the online education platform Udemy. The course curriculum consists of thirty-nine hours of videos and lectures which can be learned independently by the students at their own pace.

The course instruction is provided along with the English language subtitles that aid in a better understanding of the concepts. The theoretical concepts and the practical application of information retrieval and mining large data sets are engaged by the students and guided by the course instructors, Omkar Despande and the Mentors Net.

The ‘Information Retrieval and Mining Massive Data Sets’ training program equips students with the opportunity to have access to the course materials any time and the students will receive the course completion certificate after finishing the course.

The Outlier Detection Algorithms in Data Mining and Data Science online course is about the basic and advanced techniques and strategies of outlier detection with improving the programming skills with the algorithm application in Python, R, and SAS. The Outlier Detection Algorithm course is developed and provided by the online education platform Udemy for students interested in learning fraud detection and intrusion detection.

The course curriculum consists of two and half hours of video content and ten downloadable resources available to the students at any time to access after joining the program. The course instruction is offered by the KDD expert, a data scientist, and a professional with data mining, data analysis, and machine learning. 

The ‘Outlier Detection Algorithms in Data Mining and Data Science’ training program is a self-paced learning program that provides the students a course completion certificate after finishing the course study. The online program helps the students gain an opportunity in learning about the theoretical and practical applications of the outlier detection techniques in data mining and data science.

Data mining is the process of sifting through large data sets to identify patterns and relationships that can be utilized in data analysis to solve business problems. Techniques and tools for data mining enable businesses to anticipate future trends and make more informed business decisions. Data mining is a crucial component of data analytics and one of the fundamental disciplines of data science, which employs advanced analytics techniques to extract useful information from data sets. Data mining is a component of the knowledge discovery in databases (KDD) process, which is a data science methodology for collecting, processing, and analyzing data. 

Regression, Data Mining, Text Mining, Forecasting using R online training Includes 33 hours of video, five articles, 36 downloadable resources, and a digital certificate upon course completion. Regression, Data Mining, Text Mining, Forecasting using R online classes comprised of data science, statistics, hypothesis, basic programming using R, predictive analytics, data mining, mixed data, and dimension data analysis